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@alexeivaldes started using tool Kubernetes , 1 year, 8 months ago.
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Spring Alternatives for Cloud-Native Microservices with Kubernetes

Spring Kubernetes

This blog post discusses Spring, a popular Java framework, and its limitations for cloud-native microservices development. It introduces Kubernetes as a strong alternative for some functionalities in Spring, particularly those related to configuration management and deployment.

Here are the key takeaways:

Spring's tight coupling of configuration and business logic can create challenges for cloud-native deployments.

Kubernetes offers features like service discovery, load balancing, and configuration management that can replace or complement Spring functionalities.

Spring excels in core application logic development, while Kubernetes focuses on container orchestration and infrastructure management.

Combining Spring's strengths with Kubernetes capabilities allows developers to build efficient and scalable cloud-native microservices.

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@prajwal-bhaskar started using tool Kubernetes , 1 year, 8 months ago.
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@shurup shared a post, 1 year, 8 months ago
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werf v2: how this CI/CD tool evolved and why it came up with Nelm instead of Helm

Helm Kubernetes werf

werf is a CLI tool for CI/CD created in 2016 and a CNCF Sandbox project since 2022. It implements opinionated CI/CD in Kubernetes with your favourite CI system. Starting from werf v2, it uses Nelm instead of Helm to deploy container images.

werf v2 release and evolution with Helm
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Kubernetes, often abbreviated as K8s, is an open-source orchestration platform designed to automate the deployment, scaling, and management of containerized applications. It acts as a "brain" for your infrastructure, ensuring that your containers run exactly where and how they should across a cluster of physical or virtual machines, abstracting away the underlying hardware to treat the entire data center as a single computational resource.

At its core, Kubernetes operates on a declarative model: you define the "desired state" of your application—such as how many replicas should be running or how much CPU they should use - and the system continuously works to maintain that state. If a container crashes or a node fails, Kubernetes automatically detects the discrepancy and restarts or reschedules the workload to ensure zero downtime, providing a self-healing environment that is critical for modern, high-availability systems.

Beyond simple container management, Kubernetes provides a robust ecosystem for networking, storage, and security. It handles service discovery and load balancing internally, allowing containers to communicate seamlessly without hardcoded IP addresses, and orchestrates storage mounting from various providers. By standardizing how applications are deployed and scaled, Kubernetes enables developers to move from local development to global production with consistent and predictable results.